• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1994년도 가을 학술발표회 논문집
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• pp.95-102
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• 1994

This paper presents a Cable Stayed Bridge Construction Management System, which consists of Structural System Identification Method (SSIM), Error Sensitivity Analysis and Optimum Error Adjustment & Prediction System. The 1st System Identification Method builds an error influence matrix using the linear superposition of each error modes. The 2nd SSIM also considers the second error mode term, which shows good error factor estimation. The optimal cable adjustment can be accomplished within the allowable range of both cable tension and camber. The Post processor, constituted with Motif and GL library on SGI platform, is useful for monitoring construction stage management by displaying construction data, adjustment and prediction results at each construction step.

• Journal of Construction Engineering and Project Management
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• 제6권3호
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• pp.14-21
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• 2016

One of the major issues in the material-based or acceptance quality characteristics asphalt pavement Quality Assurance (QA) is that the method does not have rationality to link between the individual materials and the projected performance of the pavement. A new asphalt mix QA method has been recently developed under a national research project using the probabilistic Performance Related Specification (PRS). This advanced PRS QA methodology integrates the AASHTOWare Pavement ME Design$^{(R)}$ technology with the simple performance test concept that bridges the material characteristics with the pavement performance. This paper presents a case study of asphalt pavement performance using the developed PRS QA computer program, named Quality Related Specification Software (QRSS), with an actual pavement project, to demonstrate the developed PRS procedure and to assess the robustness of QRSS in terms of the rationality of the distress predictions. The results of this limited case study show that the new PRS QA method reasonably predicts the pavement performance, properly applied the probabilistic methods, and produced rational pay adjustment.

• 한국산업융합학회 논문집
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• 제21권6호
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• pp.317-327
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• 2018

The perception of earthquake in Korea has changed due to the earthquake that occurred in Gyeongju and Pohang, and the earthquake has become an important factor in infrastructure management. Damage to infrastructures in the event of an earthquake is extensive. In particular, damage to infrastructures that perform public function used to spread to the whole area. From the point of view of earthquake disaster prevention, it is very important for the public to define what infrastructures are important management targets and to prepare a countermeasure. In this study, we propose a method to evaluate the importance of infrastructure to effectively manage infrastructures for earthquakes. For this purpose, important factors for the railway bridges, power generation and electric power facilities, and apartment complexes are suggested. AHP analysis is conducted to suggest priorities. In addition, the evaluation criteria for infrastructure importance are presented.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.533-538
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• 2005

An outline of an Artificial Neural Network (ANN) model for bridge condition rating and the results of a pilot study are presented in this paper. Most BMS implementation systems involve an extensive range of data collection to operate accurately. It takes many years to effectively implement a BMS using existing methodologies. This is due to unmatched data requirements. Such problems can be overcome by adopting the ANN model presented in this paper. The objective of the proposed model is to predict bridge condition ratings using historical bridge inspection data for effective BMS operation.

• Industrial Engineering and Management Systems
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• 제11권2호
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• pp.176-182
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• 2012

This paper presents a new approach to risk comparison in uncertain environment. Based on the uncertainty theory, some uncertain risk measures and risk comparison rules are proposed. Afterward the bridges are built between uncertain risk measures and risk comparison rules. Finally, several comparable examples are given.

• World Technopolis Review
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• 제4권1호
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• pp.2-10
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• 2015

This paper examines begins by examining the priorities of the different stakeholders in universities. It then lists some unique technology transfer models practiced by both universities and companies. This is followed by a discussion on the current models of universities and businesses, and science parks and universities. The paper then recommends a new model for science park university engagement that includes six initiatives to make science parks more relevant to universities.

• 대한공간정보학회지
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• 제7권2호
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• pp.69-80
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• 1999

본 연구에서는 지리정보시스템을 이용하여 교량 안전 관리를 위한 교량재해관리시스템을 개발하고자 한다. 진주시에 위치한 교량시설물들에 대한 기본도, 도로망도, 교량위치도 등과 같은 여러 가지 도형 레이어 그리고 32개 교량에 관련된 속성자료들을 포함하여 데이터베이스를 구축하였다. Visual Basic 5.0 Language를 사용하여 여러 가지 교량안전관련 분석기능을 갖는 PC용 교량재해관리시스템을 개발하였다. 본 연구에서 개발된 교량재해관리시스템은 신속하고 효율적인 데이터검색, 파일관리, 교량제원의 검색과 관리, 교량관련 도면보기, 교통량조사의 검색과 관리, 교량점검결과와 보수상태의 검색과 관리 그리고 교량 안전등급의 평가의 기능을 가지고 있다.

• Smart Structures and Systems
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• 제13권6호
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• pp.901-925
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• 2014

The reliability of a Bridge management System depends on the quality of visual inspection and the reliable estimation of bridge condition rating. However, the current practices of visual inspection have been identified with several limitations, such as: they are time-consuming, provide incomplete information, and their reliance on inspectors' experience. To overcome such limitations, this paper presents an approach of automating the prediction of condition rating for bridges based on digital image analysis. The proposed methodology encompasses image acquisition, development of 3D visualization model, image processing, and condition rating model. Under this method, scaling defect in concrete bridge components is considered as a candidate defect and the guidelines in the Ontario Structure Inspection Manual (OSIM) have been adopted for developing and testing the proposed method. The automated algorithms for scaling depth prediction and mapping of condition ratings are based on training of back propagation neural networks. The result of developed models showed better prediction capability of condition rating over the existing methods such as, Naïve Bayes Classifiers and Bagged Decision Tree.

• 한국인터넷방송통신학회논문지
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• 제13권5호
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• pp.155-161
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• 2013

증강현실 기술은 가상의 정보와 현실의 배경을 혼합하여 사용자에게 제공하는 기술로, 현재 많은 분야에서 이 기술을 접목하여 다양한 연구를 진행하고 있다. 그 중 하나인 건설 산업은 복잡한 설계와 시설물을 기반으로 모든 업무가 행해지는 특징으로 인해 증강현실 기술의 활용 가능성이 높은 분야로 주목받고 있다. 또한 증강현실 기술은 현재 많은 사람들이 사용하고 있는 스마트폰에 구현되어 쉽고 빠르게 이용할 수 있게 되었다. 이에 본 논문에서는 콘크리트 교량의 유지 및 관리를 위해 증강현실 기반의 모바일 어플리케이션을 제안한다. 내/외적인 정보들을 제공하는 증강현실 기반 교량 정보 시스템을 제안한다. 본 논문에서 구현한 교량 정보 어플리케이션은 스마트폰과 증강현실 기술을 이용하여 교량의 다양한 정보를 제공할 수 있다.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2008년도 정기총회 및 학술발표대회
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• pp.533-536
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• 2008

H 형강은 시공성과 유지관리의 간편성으로부터 교량의 주형과 가설 구조물에 사용하는 경우가 증가하고 있다. 특히 H형강을 교량에 적용하는 경우 지점부의 부모멘트에 의해 지간장 20m 내외가 한계이고, 기존공법의 경우 콘크리트를 사용한 공법에 비해 큰 장점을 가지고 있지 못한다. 따라서 본 연구에서는 교량의 장지간화가 가능한 가로거더공법을 개발하여 기존의 강교량의 문제점을 극복한 장지간 H형강 강합성 교량을 개발하고자한다. 여기서는 수치해석적 방법으로 주형과 주형이 연속화되는 시점을 변화시켜 내하력을 계산하고, 그 결과로 부터 합리적인 가로거더공법을 개발하고자한다.